The Neural Division of Labor: Biologically-Inspired Modular Architectures for Robust Neuromorphic Computing
A Decomposable Spiking Neural Network (D-SNN) is reported that eliminates global synaptic entanglement by structurally isolating classification pathways into independent experts, establishing an efficient foundation for deploying deterministic neuromorphic intelligence in resource-constrained edge environments.